The Best Classification Algorithm for Identification Beef Quality Based on Marbling

Autor: Anis Fitri Nur Masruriyah, Sigit Widiyanto, Hanny Hikmayanti Handayani, Eri Prasetyo Wibowo, Sarifuddin Madenda, Tubagus Maulana Kusuma
Rok vydání: 2020
Předmět:
Zdroj: 2020 Fifth International Conference on Informatics and Computing (ICIC).
DOI: 10.1109/icic50835.2020.9288624
Popis: Indonesian populace demands animal protein high enough to fulfill nutrition, one of the most sought-after sources of protein comes from beef. Due to high market needs, some traders are defrauding to get higher profits. This has caused discomfort for most beef consumers because people generally rely on the ability of vision to find out the quality of meat. In order to make it easier for the public to recognize the quality of meat to be consumed, this study classifies the quality of meat marbling based on the size of marbling. The classification in this study used the SVM algorithm, LDA, and Decision Tree. Furthermore, the result came out with the best algorithm in this case was the Decision Tree.
Databáze: OpenAIRE